Abstract
This project aims to explore alternative techniques for designing visually appealing and comprehensible data tables. Traditional Excel spreadsheets often lack readability and visual impact. By incorporating design principles such as color theory, typography, and layout, we aim to create visually striking data tables that effectively convey information. Additionally, we will evaluate innovative software tools and platforms that offer user-friendly options for creating functional and aesthetically pleasing data tables. Enhancing data presentation is crucial for improving interpretation and understanding.
Introduction
Excel spreadsheets are widely used for organizing and presenting data. However, their conventional format can be tedious and challenging to read, hindering data comprehension. This project seeks to address this limitation by exploring various techniques to design visually appealing and comprehensible data tables.
The primary focus is to create data tables that are not only aesthetically pleasing but also convey information effectively. By employing design principles such as color theory, typography, and layout, we aim to enhance the visual impact and readability of data tables. This will involve experimenting with different combinations of colors, fonts, and arrangement patterns to find the most optimal design choices.
Additionally, the project involves the evaluation of different software tools and platforms that offer innovative and user-friendly options for creating data tables. The goal is to identify solutions that facilitate the creation of functional and visually appealing tables with ease.
It is crucial to recognize that the presentation of data plays a significant role in its interpretation and understanding. The traditional Excel format often lacks visual cues to highlight key data points or insights. Therefore, this project seeks to explore new and innovative methods of presenting data tables that not only serve their functional purpose but also captivate the audience with their visual appeal.
Advanced Data Tables
DT Table Code
ds_starter <- ds %>%
mutate(
province = as.factor(province),
price = price,
thetaPointMean = mean(points),
thetaPriceMean = mean(price)
)
ds_starter %>%
arrange(province, year) %>%
select(
Province = province,
Year = year,
Price = price,
Points = points,
Description = description
) %>%
datatable(.,
filter = "bottom",
extensions = "Buttons",
options = list(
dom = "Bfrtip",
buttons = c("copy", "csv", "excel"),
initComplete = JS(
"function(settings, json) {",
"$(this.api().table().header()).css({'background-color': '#131F4F', 'color': '#fff'});",
"}"
)
)
)Adding Statistical Visuals To Summary Tables
GT Table Code
fancyTbl <- ds_summary %>%
gt() %>%
# format the numeric output to 3 digit rounding
fmt_number(
columns = c(pointsMean, pointsSD, priceMean, priceSD),
decimals = 3
) %>%
# create nice labels for a few ugly variable names
cols_label(
province = "Province",
pointsMean = "Avg. Points",
pointsSD = "Std. Dev. Points",
priceMean = "Avg. Price",
priceSD = "Std. Dev. Price",
points = "Points Trend",
price = "Price Trend",
) %>%
# Plot the sparklines from the list column
gt_plt_sparkline(points,
type = "ref_median",
same_limit = TRUE
) %>%
gt_plt_sparkline(price,
type = "ref_median",
same_limit = TRUE
) %>%
# use the guardian's table theme
gt_theme_guardian() %>%
# give hulk coloring to the Mean Human Rights Score
gt_hulk_col_numeric(pointsMean) %>%
gt_hulk_col_numeric(priceMean) %>%
# create a header and subheader
tab_header(title = "Province Pinot Wine Summary", subtitle = "Source: Dr. Hendrick") %>%
# attach excel file
tab_source_note(excel_file_attachment)
# save the original as an image
# gtsave(fancyTbl, "table.png")
# show the table themed in accordance with the page
fancyTblConclusion
The objective of this endeavor is to create a thorough and all-encompassing compilation of principles and instructions for crafting data tables that are simple to interpret and comprehend. By employing these guidelines, our aim is to enhance the usability and accessibility of data tables across a broad spectrum of applications and sectors.